Queries Grok 3 for real-time info from X and fast reasoning.
AI agents invoke grok_ask to trigger actions in M3 Memory. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.
This tool triggers an external API call to Grok 3 (an AI/LLM service), retrieving real-time information from X (Twitter). While it reads data, it executes an external operation whose effects depend on the arguments passed — including potential exposure of sensitive prompt content to a third-party service. The 'real-time info from X' aspect implies live external queries, making this Execute rather than a simple Read.
From the tool's definition Queries Grok 3 for real-time info from X and fast reasoning
Documented attack patterns abuse exactly the kind of access grok_ask gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and M3 Memory, and nothing reaches the server without passing your rules. This is the rule we recommend for grok_ask:
{
"version": "1",
"default": "deny",
"tools": {
"grok_ask": {
"limits": [
{
"counter": "grok_ask_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} grok_ask stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
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Queries Grok 3 for real-time info from X and fast reasoning. It is categorised as a Execute tool in the M3 Memory MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the M3 Memory MCP server in PolicyLayer and add a rule for grok_ask: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches M3 Memory. Nothing to install.
grok_ask is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the grok_ask rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for grok_ask. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
grok_ask is provided by the M3 Memory MCP server (skynetcmd/m3-memory). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from M3 Memory, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
43 M3 Memory tools catalogued and risk-classified — across an index of 43,000+ MCP servers.